A novel dispersal algorithm in individual-based, spatially-explicit Population Viability Analysis: A new role for genetic measures in model testing?. (June 2015)

• Record Type: Journal Article
• Authors: Lethbridge, Mark R.; Strauss, Jessica C.
• Is Part Of: Environmental modelling & software. Volume 68(2015:Jun.)
• Page Start: 83
• Page End: 97
• Publication Date: 2015-06
• Subjects: Modelling dispersal -- Modelling pedigrees -- Simulated kinship coefficients -- Inbreeding -- Individual-based spatially-explicit Population Viability Analysis -- Agent-Based Modelling -- Petrogale xanthopus xanthopus -- Risk assessment; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2015.02.002
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: We describe a new population viability tool: Spatial PVA. Spatial PVA is an individual-based spatially-explicit PVA application which employs a novel stochastic dispersal algorithm that models how animals move through habitat patches. It also includes a non-random breeding algorithm that simulates pedigrees and inbreeding depression. The model repeatedly steps through annual cycles of chance environmental, dispersal and demographic events for a specified time period. We provide a case study to demonstrate how one can compare simulated kinship coefficients with sampled genetic data to test model assumptions and inputs. We also provide a translocation example for an Australian rangelands species, the Yellow-footed Rock-wallaby ( Petrogale xanthopus xanthopus ). Highlights: Spatial PVA employs a novel stochastic dispersal algorithm that models how animals move through habitat patches. The software includes a non-random breeding algorithm that simulates pedigrees and inbreeding depression. Can be used as a decision planning tool for exploring likely population outcomes under a range of different management scenarios.